Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
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Article Number | 04042 | |
Number of page(s) | 4 | |
Section | Environmental Protection, Pollution and Treatment | |
DOI | https://doi.org/10.1051/e3sconf/201911804042 | |
Published online | 04 October 2019 |
Decoupling and decomposition analysis on the CO2 emissions of tourism industry: A case study of Hainan
1
School of Geography and environment / (Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education), Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
2
Graduate School of Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
* Corresponding author: jiaaniu@126.com
Currently, little attention was paid to the tourism’s CO2 emission (CE) at province level. Thus, taking Hainan as a case, we computed this province’s CE, and analyzed the relationship between Hainan’s tourism economy and its CE, and the drivers of the CE. The results showed that Hainan’s tourism CE increased rapidly from 99.88×104 t in 2001 to 475.07×104 t in 2015. Particularly, Tourism transport always accounted for the largest proportion of tourism CE (more than 74%). Moreover, Hainan presented a holistic weak decoupling (0.68) during 2001-2015. But the decoupling rate was only 57.14%. Thus, Hainan still has much potential to improve the energy-use efficiency of tourism industry for accelerating the decoupling process. In addition, the effect of population was the dominant driver to promote Hainan’s tourism CE followed by expenditure size effect with the contribution rates of 132.52% and 11.78%, respectively. Whereas energy intensity effect played the most primary role in inhibiting CE followed by industrial structure effect, and their contribution rates were -38.65% and -5.58%, respectively. Last, based on these results above, some reasonable countermeasures and suggestions are proposed.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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